Evidence map›Paper›PMID 41824159›Full record

ArticleNeotropical entomology2026

Global Suitable Habitats for Spodoptera litura and the Implications for Brazilian Agriculture.

Luiz Carlos Lopes da Silveira, Cesar Augusto Marchioro

Abstract read
In one paragraph

Article in Neotropical entomology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Luiz Carlos Lopes da SilveiraFederal Univ of Santa Catarina, Curitibanos, Santa Catarina, Brazil.
Cesar Augusto MarchioroGraduate Program in Natural and Agricultural Ecosystems, Dept of Agriculture, Biodiversity, and Forests, Federal Univ of Santa Catarina, Curitibanos, Santa Catarina, Brazil. cesmarc@gmail.com.ORCID http://orcid.org/0000-0002-7257-8114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive alien species can significantly impact the environment, public health, and food production. Identifying high-risk areas is essential for implementing preventive measures, especially for species with several traits linked to invasive behavior, such as Spodoptera litura (F.). This study aimed to predict the potential global distribution of S. litura and assess its implications for five major crops in Brazil. Climatic suitability was estimated using the MaxEnt correlative algorithm, with fifty models generated by varying feature classes and regularization multiplier values. The best model selected based on the corrected Akaike Information Criterion demonstrated strong predictive performance, with high Area Under the Curve (AUC

Indexed as

Crops, AgriculturalEcosystemSpodopteraAgricultureAnimalsBrazilIntroduced SpeciesCotton leafwormEcological niche modelsInvasive speciesMaxEnt

Identifiers

PMID41824159
PMCPMC12987805

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.